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Researcher, Training

San Francisco💼 Full-time🗓 2025-05-14 → 2026-07-31

Core

Designing, prototyping, and scaling new LLM architectures to enhance model intelligence, efficiency, and capabilities.

Role type

Senior IC LLM architecture researcher

Builds

Next-generation large language models (e.g., GPT-4o, o1-mini) and training/inference infrastructure

Domain

Artificial Intelligence / Large Language Models / Deep Learning

Deliverable

production ML models

Required skills

LLM architecture design, model inference optimization, experimental design and analysis, deep learning framework proficiency, transformer modification for efficiency, debugging complex regressions, performance bottleneck analysis

Preferred skills

Experience leading major LLM training runs, self-directed evaluation of deep learning architectures, practical knowledge of safely deploying LLMs

Technologies

PyTorch, JAX, Hugging Face Transformers, distributed training frameworks, custom inference engines

Responsibilities

Design and prototype novel model architectures, execute and analyze large-scale experiments, optimize model and computational performance, contribute to training and inference infrastructure

Seniority

Senior, hands-on IC

Rewrite
## About the Team OpenAI's Training team is responsible for producing the large language models that power our research, our products, and ultimately bring us closer to AGI. Achieving this goal requires combining deep research into improving our current architecture, datasets and optimization techniques, alongside long-term bets aimed at improving the efficiency and capability of future generations of models. We are responsible for integrating these techniques and producing model artifacts used by the rest of the company, and ensuring that these models are world-class in every respect. Recent examples of artifacts with major contributions from our team include GPT4-Turbo, GPT-4o and o1-mini. ## About the Role As a member of the architecture team, you will push the frontier of architecture development for OpenAI's flagship models, enhancing intelligence, efficiency, and adding new capabilities. Ideal candidates have a deep understanding of LLM architectures, a sophisticated understanding of model inference, and a hands-on empirical approach. A good fit for this role will be equally happy coming up with a creative breakthrough, investing in strengthening a baseline, designing an eval, debugging a thorny regression, or tracking down a bottleneck. This role is based in San Francisco. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. ## Responsibilities - Design, prototype and scale up new architectures to improve model intelligence - Execute and analyze experiments autonomously and collaboratively - Study, debug, and optimize both model performance and computational performance - Contribute to training and inference infrastructure ## Requirements - Have experience landing contributions to major LLM training runs - Can thoroughly evaluate and improve deep learning architectures in a self-directed fashion - Are motivated by safely deploying LLMs in the real world - Are well-versed in the state of the art transformer modifications for efficiency ## Nice to Have - None specified ## Benefits - Hybrid work model (3 days in the office per week) - Relocation assistance - Equal opportunity employer - Background checks in accordance with applicable law - Reasonable accommodations for applicants with disabilities - Commitment to providing a safe and inclusive work environment ## About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
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